Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part V /
The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually d...
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| Other Authors: | , , , , , , , |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2020.
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| Edition: | 1st ed. 2020. |
| Series: | Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
12265 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-59722-1 |
Table of Contents:
- Biological, Optical, Microscopic Imaging
- Channel Embedding for Informative Protein Identification from Highly Multiplexed Images
- Demixing Calcium Imaging Data in C. elegans via Deformable Non-negative Matrix Factorization
- Automated Measurements of Key Morphological Features of Human Embryos for IVF
- A Novel Approach to Tongue Standardization and Feature Extraction
- Patch-based Non-Local Bayesian Networks for Blind Confocal Microscopy Denoising
- Attention-guided Quality Assessment for Automated Cryo-EM Grid Screening
- MitoEM Dataset: Large-scale 3D Mitochondria Instance Segmentation from EM Images
- Learning Guided Electron Microscopy with Active Acquisition
- Neuronal Subcompartment Classification and Merge Error Correction
- Microtubule Tracking in Electron Microscopy Volumes
- Leveraging Tools from Autonomous Navigation for Rapid, Robust Neuron Connectivity
- Statistical Atlas of C.elegans Neurons
- Probabilistic Segmentation and Labeling of C. elegans Neurons
- Segmenting Continuous but Sparsely-Labeled Structures in Super-Resolution Microscopy Using Perceptual Grouping
- DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging
- Isotropic Reconstruction of 3D EM Images with Unsupervised Degradation Learning
- Background and illumination correction for time-lapse microscopy data with correlated foreground
- Joint Spatial-Wavelet Dual-Stream Network for Super-Resolution
- Towards Neuron Segmentation from Macaque Brain Images: A Weakly Supervised Approach
- 3D Reconstruction and Segmentation of Dissection Photographs for MRI-free Neuropathology
- DistNet: Deep Tracking by displacement regression: application to bacteria growing in the Mother Machine
- A weakly supervised deep learning approach for detecting malaria and sickle cell anemia in blood films
- Imaging Scattering Characteristics of Tissue in Transmitted Microscopy
- Attention based multiple instance learning for classification of blood cell disorders
- A generative modeling approach for interpreting population-level variability in brain structure
- Processing-Aware Real-Time Rendering for Optimized Tissue Visualization in Intraoperative 4D OCT
- Cell Segmentation and Stain Normalization
- Boundary-assisted Region Proposal Networks for Nucleus Segmentation
- BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting
- Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy
- Structure Preserving Stain Normalization of Histopathology Images Using Self Supervised Semantic Guidance
- A Novel Loss Calibration Strategy for Object Detection Networks Training on Sparsely Annotated Pathological Datasets
- Histopathological Stain Transfer Using Style Transfer Network With Adversarial Loss
- Instance-aware Self-supervised Learning for Nuclei Segmentation
- StyPath: Style-Transfer Data Augmentation For Robust Histology Image Classification
- Multimarginal Wasserstein Barycenter for Stain Normalization and Augmentation
- Corruption-Robust Enhancement of Deep Neural Networks for Classification of Peripheral Blood Smear Images
- Multi-Field of View Aggregation and Context Encoding for Single-Stage Nucleus Recognition
- Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention
- FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology
- Histopathology Image Analysis
- Pairwise Relation Learning for Semi-supervised Gland Segmentation
- Ranking-Based Survival Prediction on Histopathological Whole-Slide Images
- Renal Cell Carcinoma Detection and Subtyping with Minimal Point-Based Annotation in Whole-Slide Images
- Censoring-Aware Deep Ordinal Regression for Survival Prediction from Pathological Images
- Tracing Diagnosis Paths on Histopathology WSIs for Diagnostically Relevant Case Recommendation
- Weakly supervised multiple instance learning histopathological tumor segmentation
- Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer
- Microscopic fine-grained instance classification through deep attention
- A Deformable CRF Model for Histopathology Whole-slide Image Classification
- Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images
- Multiple Instance Learning with Center Embeddings for Histopathology Classification
- Graph Attention Multi-instance Learning for Accurate Colorectal Cancer Staging
- Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment
- Modeling Histological Patterns for Differential Diagnosis of Atypical Breast Lesions
- Foveation for Segmentation of Mega-pixel Histology Images
- Multimodal Latent Semantic Alignment for Automated Prostate Tissue Classification and Retrieval
- Opthalmology
- GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy
- Combining Fundus Images and Fluorescein Angiography for Artery/Vein Classification Using the Hierarchical Vessel Graph Network
- Adaptive Dictionary Learning Based Multimodal Branch Retinal Vein Occlusion Fusion
- TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification
- DeepGF: Glaucoma Forecast Using Sequential Fundus Images
- Single-Shot Retinal Image Enhancement Using Deep Image Prior
- Robust Layer Segmentation against Complex Retinal Abnormalities for en face OCTA Generation
- Anterior Segment Eye Lesion Segmentation with Advanced Fusion Strategies and Auxiliary Tasks
- Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images
- Disentanglement Network for Unpsupervised Speckle Reduction of Optical Coherence Tomography Images
- Positive-Aware Lesion Detection Network with Cross-scale Feature Pyramid for OCT Images
- Retinal Layer Segmentation Reformulated as OCT Language Processing
- Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT
- Open-Appositional-Synechial Anterior Chamber Angle Classification in AS-OCT Sequences
- A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation
- Macular Hole and Cystoid Macular Edema Joint Segmentation by Two-Stage Network and Entropy Minimization
- Retinal Nerve Fiber Layer Defect Detection With Position Guidance
- An Elastic Interaction Based-Loss Function for Medical Image Segmentation
- Retinal Image Segmentation with a Structure-Texture Demixing Network
- BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation
- Boosting Connectivity in Retinal Vessel Segmentation via a Recursive Semantics-Guided Network
- RVSeg-Net: an Efficient Feature Pyramid Cascade Network for Retinal Vessel Segmentation-.